Job Description Role Summary Design and build intelligent agent-based systems that can reason, plan, and act autonomously.

Strong Python engineering expertise and hands-on experience with modern agent frameworks.

Solid understanding of data platforms and scalable architectures.

Agent & AI System Development Design and build agent-based systems using frameworks such as Lang

Chain, Lang

Graph, or similar.

Develop intelligent components capable of reasoning, planning, and executing tasks autonomously.

Implement advanced cognitive patterns such as ReAct (Reasoning + Acting). LLM Capabilities & Enhancements Develop and integrate memory, tool usage, and context management capabilities (MCP).

Build systems that leverage tool calling, chaining, and orchestration of LLM workflows.

Collaborate with prompt engineers to enhance model responses and performance.

Engineering & Development Write high-quality, scalable code using Python, including async programming.

Build and maintain APIs and microservices for AI/agent-based applications.

Ensure systems are efficient, reliable, and production-ready.

Guardrails & Responsible AI Design and implement guardrails and safety mechanisms for LLM-driven systems.

Ensure robust handling of edge cases, failure scenarios, and unintended outputs.

Data & Platform Integration, Work with modern data platforms such as: Snowflake Databricks Lakehouse architectures Integrate AI solutions with enterprise data pipelines and systems.





Requirements Role Summary Design and build intelligent agent-based systems that can reason, plan, and act autonomously.

Strong Python engineering expertise and hands-on experience with modern agent frameworks.

Solid understanding of data platforms and scalable architectures.

Agent & AI System Development Design and build agent-based systems using frameworks such as Lang

Chain, Lang

Graph, or similar.

Develop intelligent components capable of reasoning, planning, and executing tasks autonomously.

Implement advanced cognitive patterns such as ReAct (Reasoning + Acting). LLM Capabilities & Enhancements Develop and integrate memory, tool usage, and context management capabilities (MCP).

Build systems that leverage tool calling, chaining, and orchestration of LLM workflows.

Collaborate with prompt engineers to enhance model responses and performance.

Engineering & Development Write high-quality, scalable code using Python, including async programming.

Build and maintain APIs and microservices for AI/agent-based applications.

Ensure systems are productive, reliable, and production-ready.

Guardrails & Responsible AI Design and implement guardrails and safety mechanisms for LLM-driven systems.

Ensure robust handling of edge cases, failure scenarios, and unintended outputs.

Data & Platform Integration, Work with modern data platforms such as: Snowflake Databricks Lakehouse architectures Integrate AI solutions with enterprise data pipelines and systems.

📌 AI/LLM Engineer – Python, LangChain, LLM (Montreal)
🏢 Astra North Infoteck
📍 Montreal